Global Teams Company

About the Company

The Company is an international AI and cybersecurity company with 15+ years of expertise in cybersecurity, artificial intelligence, and digital defense.

The company develops proprietary AI-driven products and cybersecurity platforms used by governments, enterprises, and educational organizations worldwide. Its solutions combine AI, data intelligence, cyber defense, and advanced security technologies.

About the Team

The company is rapidly growing its Baku, Azerbaijan office. The team works on complex AI and cybersecurity products, designed to help protect large organizations and governments from cyber threats.

You’ll join a small, hands-on QA team and work closely with QA Engineers, Developers, Data Engineers, and Product Managers in an international environment.

About the Role

We are looking for a hands-on QA Engineer to help ensure the quality and reliability of complex data systems.

You will test backend services, APIs, databases, and data pipelines, combining manual exploratory testing with automation. You’ll take ownership of your testing areas and have the opportunity to grow further in data validation, automation, and integration testing.

If you enjoy breaking complex systems, investigating backend issues, and making sure data is accurate and reliable, this role could be a great fit.

Key Responsibilities

• Design and execute manual and automated tests for data pipelines, databases, APIs, and backend systems.
• Develop and maintain automated tests using Playwright, JavaScript, or TypeScript within the existing automation framework.
• Validate data accuracy, consistency, and completeness using SQL across relational and non-relational databases.
• Create test cases, estimate testing effort, and review test coverage for assigned features.
• Investigate, reproduce, and analyze defects, collecting evidence and working closely with developers and data engineers to resolve issues.
• Perform exploratory, regression, integration, and end-to-end testing.
• Contribute to improving QA standards, documentation, test processes, and automation practices.
• Collaborate with Data Engineers, Developers, and Product Managers to understand requirements, identify risks, and uncover edge cases.

• Support releases by communicating test results and proactively flagging quality risks.

   

Requirements

• 3+ years of experience in QA Engineering.
• Hands-on experience testing backend systems, APIs, databases, or data pipelines.
• Experience with test automation tools such as Playwright, Selenium, RestAssured, or Postman.
• Programming experience in Python, Java, TypeScript, or JavaScript.
• Strong SQL skills and experience validating data in relational and/or non-relational databases.
• Solid understanding of manual testing, including exploratory, integration, regression, and end-to-end testing.
• Ability to investigate backend issues, analyze logs, and understand how different system components interact.
• Strong ownership mindset: proactive, detail-oriented, and comfortable working independently.
• Excellent communication and professional fluency in English, both written and spoken.
• Hands-on experience using AI assistants such as Claude, ChatGPT, or similar LLM tools in day-to-day QA work, for example:

1. writing or reviewing test cases;
2. generating test data;
3. debugging;
4. drafting automation scripts.

• Ability to critically review and verify AI-generated output rather than relying on it blindly.

Nice to Have

• Experience testing ETL processes or data pipelines.
• Familiarity with CI/CD pipelines and automated test execution.
• Experience with cloud data platforms.
• Exposure to message queues.
• Experience working in cybersecurity, AI, or other complex technical domains.

What You’ll Get

• Opportunity to work on AI and cybersecurity products with real-world impact.
• Hands-on ownership within a growing international QA team.
• Close collaboration with experienced developers, data engineers, and product teams.
• Opportunity to expand your expertise in test automation, data quality, and AI-driven systems.
• On-site working environment in Baku, Azerbaijan.
• International team and English-speaking environment.

Tech Stack: Python, React, AWS, Bedrock 

The Mission

We are seeking a high-caliber Hands-on Team Leader to architect and scale our AI ecosystem. You will lead the development of an Agent Farm, designing sophisticated orchestration layers that power autonomous workflows. This role requires a rare blend of leadership, cloud expertise, and the ability to write production-ready code alongside your team.

Core Responsibilities

• Architect & Build: Lead the design and implementation of Agent Orchestration frameworks and scalable “Agent Farms.”
• Hands-on Execution: Maintain a 60% coding split, utilizing Python, TypeScript, and React to build end-to-end AI applications.
• Cloud Leadership: Own the deployment and lifecycle of AI systems on AWS, ensuring performance, security, and cost-optimization at scale.
• Model Integration: Leverage Amazon Bedrock to integrate and fine-tune Foundation Models for diverse business use cases.

• Team Mentorship: Lead a cross-functional team through code reviews, technical roadmapping, and agile delivery.

   

Technical Requirements

• AI/ LLM Mastery: Advanced experience with Amazon Bedrock, LangChain, and prompt engineering.
• Backend & Orchestration: Expert proficiency in Python; proven experience building autonomous agentic workflows (e.g., CrewAI, AutoGen, or custom solutions).
• Frontend Excellence: Strong command of React and TypeScript for building complex AI dashboards and interfaces.
• AWS Infrastructure: Deep knowledge of AWS (Lambda, ECS, EKS, SageMaker) and Infrastructure as Code (CDK/Terraform).

• Scalability: Demonstrated success in deploying and managing high-load cloud systems.

   

Must-Haves

• Leadership Experience: 2+ years leading engineering teams  5+ years of total software development experience.
• Proven AI Production Experience: A demonstrated track record of successfully deploying and scaling AI/LLM applications to production, with specific, hands-on experience using Amazon Bedrock.
• Communication: Professional-level English (written and verbal) is mandatory. You must be able to articulate complex AI strategies to stakeholders.
• Mindset: A “builder” who thrives in ambiguity and is passionate about staying current with the evolving AI landscape.